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» Bridging the Semantic Gap Between Image Contents and Tags
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SPIESR
2003
230views Database» more  SPIESR 2003»
13 years 6 months ago
Bridging the semantic gap in sports
One of the major challenges facing current media management systems and related applications is the so-called ‘‘semantic gap’’ between the rich meaning that a user desires...
Baoxin Li, James H. Errico, Hao Pan, M. Ibrahim Se...
MM
2010
ACM
191views Multimedia» more  MM 2010»
13 years 3 months ago
Quantifying tag representativeness of visual content of social images
Social tags describe images from many aspects including the visual content observable from the images, the context and usage of images, user opinions and others. Not all tags are ...
Aixin Sun, Sourav S. Bhowmick
ICIP
2010
IEEE
13 years 3 months ago
Image retrieval with feature selection and relevance feedback
This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
Yu Sun, Bir Bhanu
SPIESR
1996
141views Database» more  SPIESR 1996»
13 years 6 months ago
Describing and Classifying Multimedia Using the Description Logic GRAIL
Many applications would benefit if media objects such as images could be selected and classified (or clustered) such that "conceptually similar" images are grouped toget...
Carole A. Goble, Christian Haul, Sean Bechhofer
ICASSP
2009
IEEE
14 years 5 days ago
Annotating images by harnessing worldwide user-tagged photos
Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag’s visual diversity. Meanwhile, social user tagging ...
Xirong Li, Cees G. M. Snoek, Marcel Worring